Turn cross-engine AI visibility evidence into a prioritized, verifiable enterprise program. Measure what answer surfaces say, improve the public sources they rely on, and document what changed.
CiteSurge is an enterprise generative engine optimization program that turns cross-engine AI visibility evidence into prioritized, verifiable work. CiteSurge combines cross-engine evidence, entity intelligence, expert-led implementation, and accountable remeasurement so content, brand, web, and governance teams can improve public sources and document later observations without treating correlation as proof that one change caused a result.
Search has been rewritten. Most brands haven't noticed.
More decisions now start inside an AI answer. Buyers ask for comparisons, explanations, and recommendations; brands either enter that answer or they do not.
Our view: GEO will become the dominant discovery discipline sooner than many teams expect. Building the evidence and operating model now creates a head start.
What capabilities make up an enterprise GEO program?
An enterprise GEO program is a governed combination of answer clarity, cross-engine measurement, technical readiness, and credible source evidence. CiteSurge reviews those four disciplines together, keeps each finding's scope and limitation, and routes supported work to the content, brand, or web team that owns the affected source.
- Seven supported answer surfaces when configured, ready, and enabled
- Weekly monitoring cadence by default on current paid plans
- Available answers, mention context, prompts, markets, and citation URLs
- Live dashboard plus branded PDF and Markdown exports
- REST API, MCP, and signed audit-run webhooks for eligible paid projects: Pro, Agency, and Enterprise
How does CiteSurge turn evidence into accountable work?
A CiteSurge enterprise GEO program is a shared evidence-to-execution record. It connects cross-engine observations to prioritized work, assigns the affected page or source to the responsible team, and documents later observations without converting correlation into a guarantee.
- ObserveKeep answers, mentions, citation URLs, prompts, engines, markets, and timing attached.
- PrioritizeConnect supported findings to source, content, technical, and brand owners.
- VerifyRecord implementation and compare later observations within their own scope.
What evidence stays attached to each finding?
A reviewable evidence record is the dated observation behind a recommendation. CiteSurge keeps available answers, mention context, citation URLs, prompts, engines, markets, timing, and neutral unavailable states attached so content, brand, web, and governance teams can inspect what was measured and where the evidence stops.
How does evidence become implementation guidance?
Implementation guidance is the prioritized work that follows a supported finding. CiteSurge ties each recommendation to the affected page or source, the reason for change, the responsible content, brand, or web team, and the evidence limitation. Later observations remain separate from assumptions that implementation caused a result.
What makes reporting verifiable?
Verifiable reporting is a shared record of evidence, recommended work, scope, and limitations. CiteSurge provides a live dashboard plus branded PDF and Markdown exports so decision-makers and delivery teams can review the same supported findings without replacing unavailable evidence with certainty or presenting later movement as proof of causation.
How does enterprise scope stay governed?
Enterprise scope is the agreed boundary around brands, markets, prompts, answer surfaces, workspaces, access, and reporting. Eligible Agency and Enterprise workflows can support multiple tracked brands, white-label reporting, REST API, MCP, and signed audit-run webhooks, subject to plan limits, project permissions, configuration, and feature readiness.
What does a reviewable GEO dashboard show?
A reviewable GEO dashboard is one surface for available AI answers, mentions, citation URLs, prompt coverage, technical evidence, and prioritized work. CiteSurge keeps scope and limitations visible so the score never replaces the underlying record.
Illustrative dashboard with fictional example data. No client outcome or performance result is represented; neutral unavailable states remain visible.
Of the questions we checked, how many were answered with your brand cited or named.
How does CiteSurge bring evidence into AI tools?
The CiteSurge MCP server is an authorized interface for reading supported audit data in Claude Code, Claude Desktop, Cursor, or another MCP client. The REST API exposes the same supported data against a published OpenAPI 3.1 specification, while signed webhooks report audit completion. Teams keep implementation and publication under their control. Included on paid plans: Pro, Agency, and Enterprise.
How can agents read findings where teams work?
CiteSurge's MCP server is an authorized route for reading supported scores, citations, mentions, findings, and prioritized recommendations inside Claude Code, Claude Desktop, Cursor, or another MCP-capable client. Teams can inspect the same available evidence used by the dashboard without copying records into a separate chat or exposing unsupported provider detail.
How do supported findings move into implementation?
Controlled implementation is the step where a team carries supported recommendations into its chosen workflow while keeping publication under human control. CiteSurge preserves the source, reason, scope, limitation, and implementation status, then compares later measurements after approved changes ship without assuming that sequence proves causation.
How can teams report from the same evidence?
CiteSurge reporting is available through the live dashboard, branded PDF and Markdown exports, and supported agent workflows. The citesurge-report skill can compose a stakeholder-ready Slack or email update from the latest supported scores, trend, and priorities while the underlying audit record remains the reviewable source for evidence and limitations.
npx @citesurge/skills
claude mcp add --transport http citesurge https://citesurge.com/api/mcp \
--header "Authorization: Bearer <YOUR_KEY>"One brand or many.
Choose the right scope.
Pro gives one team a focused GEO operating scope. Agency and Enterprise adapt the same evidence standard to larger portfolios, markets, and implementation needs.
Pro
Growing brands and B2B SaaS
1 brand · 3 markets
Agency
Agencies and multi-brand teams
Up to 25 brands · 5 markets
Enterprise
Global brands scaling GEO
Unlimited brands · 5 markets
The questions
buyers ask first.
What does CiteSurge measure?
Within configured prompts, markets, and answer surfaces, CiteSurge records whether available replies name your brand, which citation URLs they return, and how they describe you where supported and available. Current paid plans use a weekly cadence by default.
Which engines do you track, and how often?
CiteSurge supports measurement across ChatGPT, Claude, Perplexity, Gemini, Google AI Overviews, Bing Copilot, and Grok when each surface is configured, ready, and enabled for the project. Current paid plans use a weekly cadence by default; available evidence can vary by run.
How is the score worked out?
The score summarizes evidence from the recorded project scope. Review it alongside available answers, mention context, citation URLs, prompts, engines, markets, timing, and unavailable states. It is a prioritization aid, not a guarantee. See the public methodology.
Is this a one-off audit or ongoing tracking?
Both. You get a branded report with prioritized implementation guidance and a live dashboard for ongoing review. Current paid plans use a weekly monitoring cadence by default, subject to project scope, configuration, and answer-surface availability.
Can I see what the AI said about me, word for word?
For configured answer surfaces, the Mentions view keeps available answer passages and mention context, plus citation counts where supported and available. When reliable evidence does not surface, the view shows a neutral unavailable state.
Do you track competitors?
For configured prompts, markets, and enabled answer surfaces, we record rival brands named or cited where supported and available. Results remain tied to the run's scope and availability; they do not establish a durable rank.
What does it cost?
Pro is €499/mo, or €399/mo billed annually: 7 engines tracked weekly (ChatGPT, Claude, Perplexity, Gemini, Google AIO, Bing Copilot, and Grok), 1 brand · 3 markets, 60 monitored prompts, 12-month history, plus MCP and API access. Agency and Enterprise plans handle larger rollouts. See pricing.
Can my own tools pull the data?
Every paid plan (Pro, Agency, and Enterprise) includes an MCP server and a REST API. Connect Claude Code, Claude Desktop, or Cursor and read your scores, citations, and fix list, or trigger a re-run, without leaving the tool. Setup lives on the help page.
Evidence-led thinking for the answer era.
Dated, sourced analysis for teams building measurable GEO programs and accountable AI visibility operations.
View all InsightsPublic program information reviewed .
Search is becoming
a conversation.
Make sure you're in it.
The web grew up around ten blue links. An entire economy (rank tracking, content mills, affiliate networks) depends on the assumption that people will scroll. They won't. Not for much longer.
The answer is becoming the new discovery surface. Our view is that GEO will become the dominant discovery discipline sooner than many teams expect. We believe AI-led discovery can replace link-first search as the primary buyer journey within years. GEO becomes the strategy.
We built CiteSurge because that sentence deserves a serious discipline behind it. Not tips. Not hacks. A partner that measures answer evidence, turns it into prioritized action, and documents what changed.
— the CiteSurge team